| """ | |
| The most atomic way to train and run inference for a GPT in pure, dependency-free Python. | |
| This file is the complete algorithm. | |
| Everything else is just efficiency. | |
| @karpathy | |
| """ | |
| import os # os.path.exists | |
| import math # math.log, math.exp |
| // See image comparison https://imgur.com/a/9L2P7GJ | |
| // Read details https://iolite-engine.com/blog_posts/minimal_agx_implementation | |
| // Usage: | |
| // 1. Open "Project Settings" and change "Working Color Space" to "sRGB / Rec709" | |
| // 2. Open `Engine\Shaders\Private\PostProcessTonemap.usf` file | |
| // 3. Find `half3 OutDeviceColor = ColorLookupTable(FinalLinearColor);` line | |
| // 4. Replace it with `half3 OutDeviceColor = ApplyAgX(FinalLinearColor);` line | |
| // 5. Find `half3 ColorLookupTable( half3 LinearColor )` function | |
| // 6. After the scope of the function, add the code below and run `RecompileShaders Changed` from console |
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This document describes critical performance bugs in PyCharm's pydevd_pep_669_tracing.py that cause 11-156x slowdown when debugging Python code, even when no breakpoints are set in the executing code. The fixes improve performance from 4.34 seconds to 0.28 seconds for a test script that calls a simple function 10 million times.
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